Episode 1 — No Effing AIdea! - AI ethics, job disruption, GenAI “failures,” the AI bubble, India SMB adoption, coding risks, consultants falling behind, biotech breakthroughs, and AI in education — all collide in our first episode of No Effing AIdea!

Welcome to the first episode. We are David Royle and Srini Annamaraju.

We set the tone with a stark cold open: new Stanford data shows a 13% drop in jobs for 22–25-year-olds in AI-vulnerable roles since ChatGPT launched. Then, in our Reality Check, we unpack the last two weeks of enterprise AI news with a fresh lens:

MIT’s “95% failure” GenAI claim — and why that’s too simple.
Why the so-called AI bubble might actually be good for business.
Reliance & Meta’s $100M JV bringing enterprise AI to India’s SMBs.
AI coding tools: 30% faster, but 2x more vulnerabilities.
Big consultants left behind by in-house AI adoption.
Stanford’s autonomous AI lab slashing drug discovery timelines.
Khan Academy’s Khanmigo AI tutor bringing hope to 180M learners worldwide.

Our Deep Dive asks: why does AI suddenly get its own moral panic when cloud, ERP, and digital never did? We explore what “ethics” really means for enterprises today:

How ethics shows up on the P&L — as fines, lawsuits, and PR disasters.
Where ethics must live in the AI stack to avoid “governance theatre.”
The trade-offs leaders underestimate — speed vs. trust, open vs. proprietary.
A pragmatic three-step ethical readiness checklist for 2025.

Finally, in The Paradox Box, we tackle three dilemmas from the field:

Boards demanding ROI and revolution at the same time.
Compliance vs. engineers in the race for velocity.
Customers rebelling against brilliance.

Listen in for pragmatic tactics, not theatre — and a candid take on why AI ethics isn’t an afterthought. It’s the seatbelt that lets enterprises drive faster.

Ep #1: Enterprise AI Field Notes: AI’s Messy Middle: Jobs, Hype, and Hard Choices